Renzo Marrazzo from 22HBG discusses TX Control, highlighting its user-friendly features and real-time dashboards. The episode delves into the customization and development process of TX Control, emphasizing its adaptability to various broadcasting needs. Marrazzo also explores the role of open-source machine learning in broadcasting, showcasing how it enhances operational efficiency and audience engagement. The episode concludes with closing remarks and a call for potential partners to collaborate and innovate further.

(0:00) Introduction and Overview of TX Control by 22HBG

(1:17) User-friendly features and Real-time dashboards

(2:30) Customization and Development of TX Control

(3:00) Open-source machine learning in broadcasting

(3:30) Closing remarks and call for partners